--- license: apache-2.0 library_name: peft tags: - trl - sft - generated_from_trainer base_model: TheBloke/Mistral-7B-Instruct-v0.1-GPTQ datasets: - generator model-index: - name: chatbot-v0.2 results: [] --- [Visualize in Weights & Biases](https://wandb.ai/scildam/huggingface/runs/2uwus52d) [Visualize in Weights & Biases](https://wandb.ai/scildam/huggingface/runs/2uwus52d) [Visualize in Weights & Biases](https://wandb.ai/scildam/huggingface/runs/2uwus52d) [Visualize in Weights & Biases](https://wandb.ai/scildam/huggingface/runs/2uwus52d) [Visualize in Weights & Biases](https://wandb.ai/scildam/huggingface/runs/2uwus52d) # chatbot-v0.2 This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GPTQ) on the generator dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0002 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - training_steps: 250 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.11.0 - Transformers 4.41.0.dev0 - Pytorch 2.1.2 - Datasets 2.18.0 - Tokenizers 0.19.1